Fetcherr website screenshot

Fetcherr

Fetcherr is an Israel-based AI technology company (founded 2019, Netanya) building generative-AI decision systems for the aviation industry. Its core is the Large Market Model (LMM), a generative model trained on internal airline data plus external signals (competitor prices, demand, weather, events, economic indicators) to forecast markets and drive real-time business decisions. Fetcherr productizes the LMM as a Generative Pricing Engine (GPE) for dynamic airline pricing and as ALPHA, a cloud-based retailing and inventory-management platform that integrates with existing airline PSS and legacy infrastructure. Customers include Delta, Virgin Atlantic, WestJet, Azul, and Viva Aerobus. Fetcherr is an enterprise B2B vendor and does not publish a public developer portal, API documentation, SDKs, or self-serve credentials; integration is delivered directly to airline customers. Added to the API Evangelist network as a battery-ventures portfolio company.

Fetcherr is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine-Learning, Aviation, and Airlines.

Fetcherr’s developer surface includes engineering blog and 5 more developer resources.

🌐 Visit website 📡 Source on GitHub
10.0/100 minimal ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
CompanyArtificial IntelligenceMachine-LearningAviationAirlinesDynamic PricingRevenue ManagementGenerative AITravelPricing

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Composite quality — 10.0/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.5 / 20
Access Clarity 4.2 / 20
Operational Transparency 0.3 / 13
Contract Governance 0.0 / 12
Discoverability 5.0 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Delegated User Identity 0 / 6
Protected Resource Metadata 0 / 5
Registration Without a Human 0 / 6
Agentic Commerce Well-Known Document 0 / 5
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/fetcherr: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Fetcherr Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Source (apis.yml)

apis.yml Raw ↑ 
aid: fetcherr
name: Fetcherr
description: Fetcherr is an Israel-based AI technology company (founded 2019, Netanya) building generative-AI decision systems
  for the aviation industry. Its core is the Large Market Model (LMM), a generative model trained on internal airline data
  plus external signals (competitor prices, demand, weather, events, economic indicators) to forecast markets and drive real-time
  business decisions. Fetcherr productizes the LMM as a Generative Pricing Engine (GPE) for dynamic airline pricing and as
  ALPHA, a cloud-based retailing and inventory-management platform that integrates with existing airline PSS and legacy infrastructure.
  Customers include Delta, Virgin Atlantic, WestJet, Azul, and Viva Aerobus. Fetcherr is an enterprise B2B vendor and does
  not publish a public developer portal, API documentation, SDKs, or self-serve credentials; integration is delivered directly
  to airline customers. Added to the API Evangelist network as a battery-ventures portfolio company.
url: https://raw.githubusercontent.com/api-evangelist/fetcherr/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://cdn.prod.website-files.com/66599e57dce755fa4d35ed57/668a18f1d62e8d9e6894cb2d_Fetcherr%20Opengraph.webp
x-type: company
x-source: vc-portfolio
x-backed-by:
- battery-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- Aviation
- Airlines
- Dynamic Pricing
- Revenue Management
- Generative AI
- Travel
- Pricing
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Aviation
- Airlines
- Dynamic Pricing
- Revenue Management
- Generative AI
- Travel
- Pricing
apis: []
common:
- type: DomainSecurity
  url: security/fetcherr-domain-security.yml
- type: Website
  url: https://www.fetcherr.io/
- type: Blog
  url: https://www.fetcherr.io/blog
- type: TermsOfService
  url: https://www.fetcherr.io/terms-of-use
- type: PrivacyPolicy
  url: https://www.fetcherr.io/privacy-policy
- type: GitHubOrganization
  url: https://github.com/fetcherr
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this
  • find_providersBrowse and filter every provider in the catalog.
  • get_provider_artifactsEvery artifact this provider publishes, grouped by type.
  • get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
  • get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
  • get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
  • get_provider_ratingPRO — composite, band, trend and facet scores.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

curl for this page
This provider 
curl "https://apis.io/api/v1/providers/fetcherr"
All providers 
curl "https://apis.io/api/v1/providers?limit=25"
Every operation they expose 
curl "https://apis.io/api/v1/providers/fetcherr/operations?limit=25"
How their score was established 
curl "https://apis.io/api/v1/providers/fetcherr/evidence"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.